Overview

Brought to you by YData

Dataset statistics

Number of variables	28
Number of observations	582
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	2.4 KiB

Variable types

Text	6
Categorical	12
Numeric	6
Boolean	2
Unsupported	1
URL	1

Alerts

`favorite` has constant value "False"	Constant
`is_search` has constant value "True"	Constant
`creative_features_creative_concept` is highly overall correlated with `creative_features_creative_theme`	High correlation
`creative_features_creative_theme` is highly overall correlated with `creative_features_creative_concept`	High correlation
`ctr` is highly overall correlated with `scrap_datetime`	High correlation
`industry_parent.value` is highly overall correlated with `scrap_datetime`	High correlation
`objective_id` is highly overall correlated with `objective_value` and 1 other fields	High correlation
`objective_value` is highly overall correlated with `objective_id` and 1 other fields	High correlation
`scrap_datetime` is highly overall correlated with `ctr` and 3 other fields	High correlation
`video_info_height` is highly overall correlated with `video_info_width`	High correlation
`video_info_width` is highly overall correlated with `video_info_height`	High correlation
`creative_features_format_production_style` is highly imbalanced (78.4%)	Imbalance
`like` is highly skewed (γ1 = 24.12027672)	Skewed
`video_name` has unique values	Unique
`video_info_cover` has unique values	Unique
`tag` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2025-04-12 19:56:11.069525
Analysis finished	2025-04-12 19:56:33.958327
Duration	22.89 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

ad_title
Text

Distinct	496
Distinct (%)	85.2%
Missing	0
Missing (%)	0.0%
Memory size	126.2 KiB

Length

Max length	972
Median length	195
Mean length	66.228522
Min length	0

Characters and Unicode

Total characters	38545
Distinct characters	198
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	439 ?
Unique (%)	75.4%

Sample

1st row	Great time killer!
2nd row	Oddly satisfying game
3rd row	My friend recommended me to play this game
4th row	download now
5th row	Play ten minutes a day to relieve stress!

Value	Count	Frequency (%)
the	146	2.4%
to	141	2.3%
and	99	1.6%
your	99	1.6%
	85	1.4%
a	82	1.4%
for	81	1.3%
you	73	1.2%
get	67	1.1%
is	54	0.9%
Other values (2306)	5126	84.7%

Most occurring characters

Value	Count	Frequency (%)
	5589	14.5%
e	3245	8.4%
o	2275	5.9%
a	2238	5.8%
t	2215	5.7%
i	2017	5.2%
r	1742	4.5%
s	1723	4.5%
n	1684	4.4%
l	1333	3.5%
Other values (188)	14484	37.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	38545	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5589	14.5%
e	3245	8.4%
o	2275	5.9%
a	2238	5.8%
t	2215	5.7%
i	2017	5.2%
r	1742	4.5%
s	1723	4.5%
n	1684	4.4%
l	1333	3.5%
Other values (188)	14484	37.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	38545	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5589	14.5%
e	3245	8.4%
o	2275	5.9%
a	2238	5.8%
t	2215	5.7%
i	2017	5.2%
r	1742	4.5%
s	1723	4.5%
n	1684	4.4%
l	1333	3.5%
Other values (188)	14484	37.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	38545	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5589	14.5%
e	3245	8.4%
o	2275	5.9%
a	2238	5.8%
t	2215	5.7%
i	2017	5.2%
r	1742	4.5%
s	1723	4.5%
n	1684	4.4%
l	1333	3.5%
Other values (188)	14484	37.6%

brand_name
Text

Distinct	336
Distinct (%)	57.7%
Missing	0
Missing (%)	0.0%
Memory size	40.4 KiB

Length

Max length	35
Median length	29
Mean length	12.195876
Min length	0

Characters and Unicode

Total characters	7098
Distinct characters	93
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	275 ?
Unique (%)	47.3%

Sample

1st row	Survival Game Master
2nd row	Gameworld Master
3rd row	Sugarcane Inc. Empire Tycoon
4th row	Smart VPN - Fast, Stable
5th row	Sugarcane Factory 3D

Value	Count	Frequency (%)
	57	5.5%
celebs	12	1.2%
news	12	1.2%
the	11	1.1%
bend	9	0.9%
stretching	9	0.9%
flexibility	9	0.9%
fabletics	9	0.9%
fashion	8	0.8%
chairs	8	0.8%
Other values (552)	895	86.1%

Most occurring characters

Value	Count	Frequency (%)
e	688	9.7%
	598	8.4%
a	474	6.7%
i	434	6.1%
o	381	5.4%
s	379	5.3%
r	378	5.3%
t	342	4.8%
n	325	4.6%
l	292	4.1%
Other values (83)	2807	39.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7098	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	688	9.7%
	598	8.4%
a	474	6.7%
i	434	6.1%
o	381	5.4%
s	379	5.3%
r	378	5.3%
t	342	4.8%
n	325	4.6%
l	292	4.1%
Other values (83)	2807	39.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7098	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	688	9.7%
	598	8.4%
a	474	6.7%
i	434	6.1%
o	381	5.4%
s	379	5.3%
r	378	5.3%
t	342	4.8%
n	325	4.6%
l	292	4.1%
Other values (83)	2807	39.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7098	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	688	9.7%
	598	8.4%
a	474	6.7%
i	434	6.1%
o	381	5.4%
s	379	5.3%
r	378	5.3%
t	342	4.8%
n	325	4.6%
l	292	4.1%
Other values (83)	2807	39.5%

cost
Categorical

Distinct	3
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	33.1 KiB

2	441
1	136
0	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	582
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	0
4th row	2
5th row	0

Common Values

Value	Count	Frequency (%)
2	441	75.8%
1	136	23.4%
0	5	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	441	75.8%
1	136	23.4%
0	5	0.9%

Most occurring characters

Value	Count	Frequency (%)
2	441	75.8%
1	136	23.4%
0	5	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	582	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	441	75.8%
1	136	23.4%
0	5	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	582	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	441	75.8%
1	136	23.4%
0	5	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	582	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	441	75.8%
1	136	23.4%
0	5	0.9%

ctr
Real number (ℝ)

High correlation

Distinct	32
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.034587629

Minimum	0.01
Maximum	0.94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.7 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.01
Q1	0.01
median	0.01
Q3	0.02
95-th percentile	0.1595
Maximum	0.94
Range	0.93
Interquartile range (IQR)	0.01

Descriptive statistics

Standard deviation	0.07797845
Coefficient of variation (CV)	2.2545185
Kurtosis	61.282814
Mean	0.034587629
Median Absolute Deviation (MAD)	0
Skewness	6.7454635
Sum	20.13
Variance	0.0060806386
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
0.01	397	68.2%
0.02	61	10.5%
0.03	28	4.8%
0.06	11	1.9%
0.04	9	1.5%
0.08	8	1.4%
0.05	7	1.2%
0.1	7	1.2%
0.07	6	1.0%
0.2	6	1.0%
Other values (22)	42	7.2%

Value	Count	Frequency (%)
0.01	397	68.2%
0.02	61	10.5%
0.03	28	4.8%
0.04	9	1.5%
0.05	7	1.2%
0.06	11	1.9%
0.07	6	1.0%
0.08	8	1.4%
0.09	3	0.5%
0.1	7	1.2%

Value	Count	Frequency (%)
0.94	1	0.2%
0.84	1	0.2%
0.7	1	0.2%
0.41	1	0.2%
0.38	1	0.2%
0.37	1	0.2%
0.3	1	0.2%
0.27	1	0.2%
0.26	3	0.5%
0.24	1	0.2%

favorite
Boolean

Constant

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	710.0 B

False	582

Value	Count	Frequency (%)
False	582	100.0%

id
Real number (ℝ)

Distinct	578
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.2501063 × 10¹⁸

Minimum	6.8002568 × 10¹⁸
Maximum	7.4869781 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.7 KiB

Quantile statistics

Minimum	6.8002568 × 10¹⁸
5-th percentile	7.0710348 × 10¹⁸
Q1	7.1836907 × 10¹⁸
median	7.2428798 × 10¹⁸
Q3	7.3060237 × 10¹⁸
95-th percentile	7.4696379 × 10¹⁸
Maximum	7.4869781 × 10¹⁸
Range	6.8672131 × 10¹⁷
Interquartile range (IQR)	1.2233298 × 10¹⁷

Descriptive statistics

Standard deviation	1.1051749 × 10¹⁷
Coefficient of variation (CV)	0.015243569
Kurtosis	0.66123625
Mean	7.2501063 × 10¹⁸
Median Absolute Deviation (MAD)	6.1933854 × 10¹⁶
Skewness	0.021221115
Sum	-4.7425037 × 10¹⁸
Variance	1.2214116 × 10³⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.033790587 × 10¹⁸	2	0.3%
7.061134395 × 10¹⁸	2	0.3%
7.052699606 × 10¹⁸	2	0.3%
6.930891822 × 10¹⁸	2	0.3%
7.132878852 × 10¹⁸	1	0.2%
7.417062473 × 10¹⁸	1	0.2%
7.16260997 × 10¹⁸	1	0.2%
7.46698774 × 10¹⁸	1	0.2%
7.143523146 × 10¹⁸	1	0.2%
7.319472428 × 10¹⁸	1	0.2%
Other values (568)	568	97.6%

Value	Count	Frequency (%)
6.800256788 × 10¹⁸	1	0.2%
6.927329073 × 10¹⁸	1	0.2%
6.930891822 × 10¹⁸	2	0.3%
6.937371977 × 10¹⁸	1	0.2%
6.948334706 × 10¹⁸	1	0.2%
6.952823417 × 10¹⁸	1	0.2%
6.961989163 × 10¹⁸	1	0.2%
6.979917279 × 10¹⁸	1	0.2%
6.985183241 × 10¹⁸	1	0.2%
6.987824363 × 10¹⁸	1	0.2%

Value	Count	Frequency (%)
7.486978098 × 10¹⁸	1	0.2%
7.486181966 × 10¹⁸	1	0.2%
7.48584039 × 10¹⁸	1	0.2%
7.485327558 × 10¹⁸	1	0.2%
7.485309949 × 10¹⁸	1	0.2%
7.485292941 × 10¹⁸	1	0.2%
7.485013273 × 10¹⁸	1	0.2%
7.484641495 × 10¹⁸	1	0.2%
7.48405999 × 10¹⁸	1	0.2%
7.481418077 × 10¹⁸	1	0.2%

is_search
Boolean

Constant

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	710.0 B

True	582

Value	Count	Frequency (%)
True	582	100.0%

like
Real number (ℝ)

Skewed

Distinct	567
Distinct (%)	97.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	912594.44

Minimum	1710
Maximum	5.1156535 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.7 KiB

Quantile statistics

Minimum	1710
5-th percentile	1839.15
Q1	2831.25
median	6104
Q3	17039.75
95-th percentile	109347.15
Maximum	5.1156535 × 10⁸
Range	5.1156364 × 10⁸
Interquartile range (IQR)	14208.5

Descriptive statistics

Standard deviation	21204963
Coefficient of variation (CV)	23.235911
Kurtosis	581.85729
Mean	912594.44
Median Absolute Deviation (MAD)	3879
Skewness	24.120277
Sum	5.3112996 × 10⁸
Variance	4.4965047 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2930	3	0.5%
1966	2	0.3%
2310	2	0.3%
6223	2	0.3%
1873	2	0.3%
7658	2	0.3%
2084	2	0.3%
67287	2	0.3%
1769	2	0.3%
84616	2	0.3%
Other values (557)	561	96.4%

Value	Count	Frequency (%)
1710	2	0.3%
1720	1	0.2%
1725	1	0.2%
1728	1	0.2%
1729	1	0.2%
1732	1	0.2%
1736	1	0.2%
1739	1	0.2%
1740	1	0.2%
1743	1	0.2%

Value	Count	Frequency (%)
511565347	1	0.2%
5505357	1	0.2%
539054	1	0.2%
480556	1	0.2%
436777	1	0.2%
391422	1	0.2%
359895	1	0.2%
291579	1	0.2%
289737	1	0.2%
275717	1	0.2%

tag
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	29.6 KiB

detail_analysis
Text

Distinct	355
Distinct (%)	61.0%
Missing	0
Missing (%)	0.0%
Memory size	438.8 KiB

Length

Max length	5174
Median length	1772
Mean length	671.31959
Min length	0

Characters and Unicode

Total characters	390708
Distinct characters	175
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	350 ?
Unique (%)	60.1%

Sample

1st row	This ad is using Product Review to catch audience's attention and improve ads performance. 'All right, I got them all ready. Let's see who wins. Oh, not looking good. Oh, no one want? I guess I get to keep all the money. With more money, I can actually get more contestants. And as you get more money, you can actually unlock more mini games like the. Like the glass bridge game later on down the line. And you can become the survival game masteralright? Let's go ahead. Throw them into the game. Who's gonna win this one? Who do you guys think? It's not looking good. Looks like i'm gonna. I'm gonna keep all the money again. Haha. Click here and download survival game master today.' 1. Showcase: The advertisement demonstrates the game's excitement and unpredictability by showcasing the contestants' reactions and the outcome of the game. This can pique the target audience's interest and encourage them to download the game. 2. Highlight Selling Points: The voiceover highlights the game's features, such as unlocking more mini-games and becoming the survival game master, which can entice potential players to try the game. Additionally, the text-over displays the game's high rewards, such as $300 and $8.1K, which can further motivate the target audience to download the game.
2nd row	This ad is using Strategy Focused to catch audience's attention and improve ads performance. 1. Attention Grabber: The ad uses a variety of attention-grabbing tactics, such as bold text-overlay and abrupt voice-over interruptions, to capture viewers' attention and draw them into the advertisement. 2. Highlight Selling Points: The voice-over mentions several selling points, including a 300/2 and 300/1 ratio, VIP, and a 200 price point, which are highlighted to differentiate the product from competitors and increase its appeal to potential buyers.
3rd row
4th row	This ad is using Oddly Satisfying to catch audience's attention and improve ads performance. 1. Comment Reply: The ad creatively utilizes comment reply as a hook to grab the audience's attention. By incorporating a popular character from Frozen, the advertisement is able to connect with a wide audience, especially children and families. 2. Respond to Comments: The ad effectively responds to comments made by the audience, showcasing the brand's engagement and interaction with its customers. This technique can increase customer loyalty and encourage more people to interact with the brand. 3. Highlight Selling Points: The ad highlights the unique selling point of the product, which is the ability to undo paint strokes. This feature is emphasized through the use of the phrase "Undo Paint stroke", creating an impression that the product is innovative and user-friendly.
5th row

Value	Count	Frequency (%)
the	4776	7.5%
and	2468	3.9%
to	2082	3.3%
a	1425	2.2%
of	1351	2.1%
this	1074	1.7%
is	972	1.5%
product	902	1.4%
ad	894	1.4%
you	639	1.0%
Other values (5190)	47444	74.1%

Most occurring characters

Value	Count	Frequency (%)
	62389	16.0%
e	38148	9.8%
t	29473	7.5%
i	24818	6.4%
a	23365	6.0%
o	22775	5.8%
n	21115	5.4%
s	20453	5.2%
r	16470	4.2%
h	15716	4.0%
Other values (165)	115986	29.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	390708	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	62389	16.0%
e	38148	9.8%
t	29473	7.5%
i	24818	6.4%
a	23365	6.0%
o	22775	5.8%
n	21115	5.4%
s	20453	5.2%
r	16470	4.2%
h	15716	4.0%
Other values (165)	115986	29.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	390708	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	62389	16.0%
e	38148	9.8%
t	29473	7.5%
i	24818	6.4%
a	23365	6.0%
o	22775	5.8%
n	21115	5.4%
s	20453	5.2%
r	16470	4.2%
h	15716	4.0%
Other values (165)	115986	29.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	390708	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	62389	16.0%
e	38148	9.8%
t	29473	7.5%
i	24818	6.4%
a	23365	6.0%
o	22775	5.8%
n	21115	5.4%
s	20453	5.2%
r	16470	4.2%
h	15716	4.0%
Other values (165)	115986	29.7%

scrap_datetime
Categorical

High correlation

Distinct	47
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	47.3 KiB

2025-04-04T17:53:16.735723	20
2025-04-04T18:42:44.917012	20
2025-04-04T18:26:57.088125	20
2025-04-04T18:54:22.439377	20
2025-04-04T18:52:00.345967	20
Other values (42)	482

Length

Max length	26
Median length	26
Mean length	26
Min length	26

Characters and Unicode

Total characters	15132
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.9%

Sample

1st row	2025-04-04T17:53:16.735723
2nd row	2025-04-04T17:53:16.735723
3rd row	2025-04-04T17:53:16.735723
4th row	2025-04-04T17:53:16.735723
5th row	2025-04-04T17:53:16.735723

Common Values

Value	Count	Frequency (%)
2025-04-04T17:53:16.735723	20	3.4%
2025-04-04T18:42:44.917012	20	3.4%
2025-04-04T18:26:57.088125	20	3.4%
2025-04-04T18:54:22.439377	20	3.4%
2025-04-04T18:52:00.345967	20	3.4%
2025-04-04T18:49:49.171198	20	3.4%
2025-04-04T18:47:36.451244	20	3.4%
2025-04-04T18:00:18.390358	20	3.4%
2025-04-04T18:02:28.571250	20	3.4%
2025-04-04T18:45:19.627583	20	3.4%
Other values (37)	382	65.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2025-04-04t17:53:16.735723	20	3.4%
2025-04-04t18:38:31.254995	20	3.4%
2025-04-04t18:42:44.917012	20	3.4%
2025-04-04t18:29:21.955350	20	3.4%
2025-04-04t18:18:17.993111	20	3.4%
2025-04-04t18:16:03.151165	20	3.4%
2025-04-04t18:13:19.730780	20	3.4%
2025-04-04t18:11:11.761978	20	3.4%
2025-04-04t18:33:58.528742	20	3.4%
2025-04-04t18:36:12.909615	20	3.4%
Other values (37)	382	65.6%

Most occurring characters

Value	Count	Frequency (%)
0	2273	15.0%
2	1808	11.9%
4	1742	11.5%
1	1509	10.0%
5	1341	8.9%
-	1164	7.7%
:	1164	7.7%
8	902	6.0%
3	593	3.9%
T	582	3.8%
Other values (4)	2054	13.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15132	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2273	15.0%
2	1808	11.9%
4	1742	11.5%
1	1509	10.0%
5	1341	8.9%
-	1164	7.7%
:	1164	7.7%
8	902	6.0%
3	593	3.9%
T	582	3.8%
Other values (4)	2054	13.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15132	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2273	15.0%
2	1808	11.9%
4	1742	11.5%
1	1509	10.0%
5	1341	8.9%
-	1164	7.7%
:	1164	7.7%
8	902	6.0%
3	593	3.9%
T	582	3.8%
Other values (4)	2054	13.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15132	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2273	15.0%
2	1808	11.9%
4	1742	11.5%
1	1509	10.0%
5	1341	8.9%
-	1164	7.7%
:	1164	7.7%
8	902	6.0%
3	593	3.9%
T	582	3.8%
Other values (4)	2054	13.6%

video_name
Text

Unique

Distinct	582
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	44.2 KiB

Length

Max length	22
Median length	21
Mean length	20.524055
Min length	20

Characters and Unicode

Total characters	11945
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	582 ?
Unique (%)	100.0%

Sample

1st row	ad_23000000000_2_0_1
2nd row	ad_23000000000_2_1_1
3rd row	ad_23000000000_2_2_1
4th row	ad_23000000000_2_3_1
5th row	ad_23000000000_2_4_1

Value	Count	Frequency (%)
ad_23000000000_2_0_1	1	0.2%
ad_20000000000_2_5_1	1	0.2%
ad_23000000000_2_17_1	1	0.2%
ad_23000000000_2_8_1	1	0.2%
ad_23000000000_2_2_1	1	0.2%
ad_23000000000_2_3_1	1	0.2%
ad_23000000000_2_4_1	1	0.2%
ad_23000000000_2_5_1	1	0.2%
ad_23000000000_2_6_1	1	0.2%
ad_23000000000_2_7_1	1	0.2%
Other values (572)	572	98.3%

Most occurring characters

Value	Count	Frequency (%)
0	5405	45.2%
_	2328	19.5%
1	1231	10.3%
a	582	4.9%
d	582	4.9%
3	569	4.8%
2	551	4.6%
4	183	1.5%
5	118	1.0%
8	114	1.0%
Other values (3)	282	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11945	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5405	45.2%
_	2328	19.5%
1	1231	10.3%
a	582	4.9%
d	582	4.9%
3	569	4.8%
2	551	4.6%
4	183	1.5%
5	118	1.0%
8	114	1.0%
Other values (3)	282	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11945	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5405	45.2%
_	2328	19.5%
1	1231	10.3%
a	582	4.9%
d	582	4.9%
3	569	4.8%
2	551	4.6%
4	183	1.5%
5	118	1.0%
8	114	1.0%
Other values (3)	282	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11945	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5405	45.2%
_	2328	19.5%
1	1231	10.3%
a	582	4.9%
d	582	4.9%
3	569	4.8%
2	551	4.6%
4	183	1.5%
5	118	1.0%
8	114	1.0%
Other values (3)	282	2.4%

video_info_vid
Text

Distinct	578
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Memory size	50.7 KiB

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	18624
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	574 ?
Unique (%)	98.6%

Sample

1st row	v0911dg40001cbta3ebc77u7vbp6b1gg
2nd row	v10033g50000caldhr3c77ub7mthrn5g
3rd row	v10033g50000cfgfgl3c77u9fehpnd8g
4th row	v10033g50000cuqnqlnog65qepkj72vg
5th row	v10033g50000cfl0uujc77u563dfii20

Value	Count	Frequency (%)
v10033g50000cbbhn7rc77ufs59uo1k0	2	0.3%
v10033g50000cshphmvog65qg2rt78h0	2	0.3%
v12044gd0000c7v2pfbc77u5s8dm3gm0	2	0.3%
v10033g50000cbbhn7rc77u645irjja0	2	0.3%
v10033g50000cbdfo43c77u67cklnp5g	1	0.2%
v10033g50000cf8l1irc77u7amn6erug	1	0.2%
v10033g50000cfgfgl3c77u9fehpnd8g	1	0.2%
v10033g50000cuqnqlnog65qepkj72vg	1	0.2%
v10033g50000cfl0uujc77u563dfii20	1	0.2%
v0911dg40001ccb8iurc77u9qur48j70	1	0.2%
Other values (568)	568	97.6%

Most occurring characters

Value	Count	Frequency (%)
0	3879	20.8%
g	1374	7.4%
3	1215	6.5%
c	1135	6.1%
5	960	5.2%
7	911	4.9%
v	910	4.9%
1	798	4.3%
u	559	3.0%
o	522	2.8%
Other values (22)	6361	34.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18624	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3879	20.8%
g	1374	7.4%
3	1215	6.5%
c	1135	6.1%
5	960	5.2%
7	911	4.9%
v	910	4.9%
1	798	4.3%
u	559	3.0%
o	522	2.8%
Other values (22)	6361	34.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18624	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3879	20.8%
g	1374	7.4%
3	1215	6.5%
c	1135	6.1%
5	960	5.2%
7	911	4.9%
v	910	4.9%
1	798	4.3%
u	559	3.0%
o	522	2.8%
Other values (22)	6361	34.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18624	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3879	20.8%
g	1374	7.4%
3	1215	6.5%
c	1135	6.1%
5	960	5.2%
7	911	4.9%
v	910	4.9%
1	798	4.3%
u	559	3.0%
o	522	2.8%
Other values (22)	6361	34.2%

video_info_duration
Real number (ℝ)

Distinct	511
Distinct (%)	87.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.637404

Minimum	5.388
Maximum	451.118
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.7 KiB

Quantile statistics

Minimum	5.388
5-th percentile	7.6008
Q1	12.63775
median	19.3425
Q3	30.83025
95-th percentile	59.9711
Maximum	451.118
Range	445.73
Interquartile range (IQR)	18.1925

Descriptive statistics

Standard deviation	30.706283
Coefficient of variation (CV)	1.1527506
Kurtosis	78.399878
Mean	26.637404
Median Absolute Deviation (MAD)	8.4525
Skewness	7.2441664
Sum	15502.969
Variance	942.87585
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30.016	10	1.7%
14.885	4	0.7%
27.414	4	0.7%
10.967	3	0.5%
16.32	3	0.5%
9.536	3	0.5%
10.008	3	0.5%
9.08	3	0.5%
30	3	0.5%
11.534	2	0.3%
Other values (501)	544	93.5%

Value	Count	Frequency (%)
5.388	2	0.3%
5.48	1	0.2%
5.551	1	0.2%
5.573	1	0.2%
5.634	1	0.2%
5.641	2	0.3%
5.967	2	0.3%
6.016	1	0.2%
6.08	1	0.2%
6.222	1	0.2%

Value	Count	Frequency (%)
451.118	1	0.2%
271.301	1	0.2%
257.672	1	0.2%
231.665	1	0.2%
144.706	1	0.2%
144.5	1	0.2%
139.534	1	0.2%
129.677	1	0.2%
113.707	1	0.2%
109.085	1	0.2%

video_info_cover
URL

Unique

Distinct	582
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	149.0 KiB

https://p16-sign-va.tiktokcdn.com/tos-maliva-v-2c3654-us/494db6fdb0ea4906be409b526785cb53~tplv-noop.image?x-expires=1743821622&x-signature=dZFSER844mwNCnmfGh9V8DPBHjI%3D	1
https://p16-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cm1q3nnog65iu5pn1020/1575517216/367~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746394572&x-signature=deSb7%2BkOzXpRamsXtUKHnHb96hM%3D	1
https://p16-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/o8A7DzcAoHfiBcim24IBcjAoTnwvXl6bhRrE6B~tplv-noop.image?x-expires=1743824324&x-signature=ajiL8xR0fQN%2Bhcd8wD1MSfP0TqQ%3D	1
https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/ba9d3326dc1644ac80369686117d3612_1667672982~tplv-noop.image?x-expires=1743824354&x-signature=5IV0fIHTAocNx2p2XYIlbh3DF2Q%3D	1
https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/okwCVEfEsAgundiVHQBWR1AjWlI8FuEeD9Su5C~tplv-noop.image?x-expires=1743824381&x-signature=GTk%2BwlWoObaXo8ITYZ9%2BXRk9ZMs%3D	1
Other values (577)	577

Value	Count	Frequency (%)
https://p16-sign-va.tiktokcdn.com/tos-maliva-v-2c3654-us/494db6fdb0ea4906be409b526785cb53~tplv-noop.image?x-expires=1743821622&x-signature=dZFSER844mwNCnmfGh9V8DPBHjI%3D	1	0.2%
https://p16-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cm1q3nnog65iu5pn1020/1575517216/367~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746394572&x-signature=deSb7%2BkOzXpRamsXtUKHnHb96hM%3D	1	0.2%
https://p16-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/o8A7DzcAoHfiBcim24IBcjAoTnwvXl6bhRrE6B~tplv-noop.image?x-expires=1743824324&x-signature=ajiL8xR0fQN%2Bhcd8wD1MSfP0TqQ%3D	1	0.2%
https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/ba9d3326dc1644ac80369686117d3612_1667672982~tplv-noop.image?x-expires=1743824354&x-signature=5IV0fIHTAocNx2p2XYIlbh3DF2Q%3D	1	0.2%
https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/okwCVEfEsAgundiVHQBWR1AjWlI8FuEeD9Su5C~tplv-noop.image?x-expires=1743824381&x-signature=GTk%2BwlWoObaXo8ITYZ9%2BXRk9ZMs%3D	1	0.2%
https://p16-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000ceugsd3c77u1e2cjcia0/1575517216/265~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746394711&x-signature=y9AoZozfIfEUGMEKEFC8bKHHTiQ%3D	1	0.2%
https://p19-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cna9nrvog65tn5at1aug/1575517216/1060~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746394711&x-signature=ewJAAsXpr2WQ5GxnjGdRgP98CT0%3D	1	0.2%
https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/oEvZDfnzCEJSQftpSBngFBCKIEVVAKdS7DlbGy~tplv-noop.image?x-expires=1743824342&x-signature=jgHU6CJVtX616l2aXzCbZ%2Fl2Kis%3D	1	0.2%
https://p16-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cfmjsdrc77u02p73au6g/1575517216/832~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746394711&x-signature=mo8gK8Z8vFvnldtIu6JPRWxXg6A%3D	1	0.2%
https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/oQEUPxREEDAf3IxKAnlgVgKLSBFNfcSDnHUz2j~tplv-noop.image?x-expires=1743824322&x-signature=SkI6y9RhyiFHuLkV2jas8%2BClUCI%3D	1	0.2%
Other values (572)	572	98.3%

Value	Count	Frequency (%)
https	582	100.0%

Value	Count	Frequency (%)
p19-cc-sign-sg.tiktokcdn.com	218	37.5%
p16-cc-sign-sg.tiktokcdn.com	216	37.1%
p16-sign-va.tiktokcdn.com	122	21.0%
p16-sign-sg.tiktokcdn.com	15	2.6%
p16-vod-sign-useast2a.tiktokcdn-eu.com	8	1.4%
p19-vod-sign-useast2a.tiktokcdn-eu.com	3	0.5%

Value	Count	Frequency (%)
/tos-alisg-p-0051c001-sg/v10033g50000cbbhn7rc77ufs59uo1k0/1575517216/166~tplv-yenboaefse-image.jpeg	2	0.3%
/tos-maliva-p-0068c799-us/70f8e328a7024697b593af0d8c7fbd1c_1644047728~tplv-noop.image	2	0.3%
/tos-alisg-p-0051c001-sg/v10033g50000cbbhn7rc77u645irjja0/1575517216/358~tplv-yenboaefse-image.jpeg	2	0.3%
/tos-alisg-p-0051c001-sg/v10033g50000cshphmvog65qg2rt78h0/1575517216/815~tplv-yenboaefse-image.jpeg	2	0.3%
/tos-maliva-v-2c3654-us/494db6fdb0ea4906be409b526785cb53~tplv-noop.image	1	0.2%
/tos-maliva-p-0068c799-us/oEvZDfnzCEJSQftpSBngFBCKIEVVAKdS7DlbGy~tplv-noop.image	1	0.2%
/tos-maliva-p-0068c799-us/ba9d3326dc1644ac80369686117d3612_1667672982~tplv-noop.image	1	0.2%
/tos-maliva-p-0068c799-us/okwCVEfEsAgundiVHQBWR1AjWlI8FuEeD9Su5C~tplv-noop.image	1	0.2%
/tos-alisg-p-0051c001-sg/v10033g50000ceugsd3c77u1e2cjcia0/1575517216/265~tplv-yenboaefse-image.jpeg	1	0.2%
/tos-alisg-p-0051c001-sg/v10033g50000cna9nrvog65tn5at1aug/1575517216/1060~tplv-yenboaefse-image.jpeg	1	0.2%
Other values (568)	568	97.6%

Value	Count	Frequency (%)
x-expires=1743821622&x-signature=dZFSER844mwNCnmfGh9V8DPBHjI%3D	1	0.2%
lk3s=317596d8&x-expires=1746394572&x-signature=deSb7%2BkOzXpRamsXtUKHnHb96hM%3D	1	0.2%
x-expires=1743824324&x-signature=ajiL8xR0fQN%2Bhcd8wD1MSfP0TqQ%3D	1	0.2%
x-expires=1743824354&x-signature=5IV0fIHTAocNx2p2XYIlbh3DF2Q%3D	1	0.2%
x-expires=1743824381&x-signature=GTk%2BwlWoObaXo8ITYZ9%2BXRk9ZMs%3D	1	0.2%
lk3s=317596d8&x-expires=1746394711&x-signature=y9AoZozfIfEUGMEKEFC8bKHHTiQ%3D	1	0.2%
lk3s=317596d8&x-expires=1746394711&x-signature=ewJAAsXpr2WQ5GxnjGdRgP98CT0%3D	1	0.2%
x-expires=1743824342&x-signature=jgHU6CJVtX616l2aXzCbZ%2Fl2Kis%3D	1	0.2%
lk3s=317596d8&x-expires=1746394711&x-signature=mo8gK8Z8vFvnldtIu6JPRWxXg6A%3D	1	0.2%
x-expires=1743824322&x-signature=SkI6y9RhyiFHuLkV2jas8%2BClUCI%3D	1	0.2%
Other values (572)	572	98.3%

Value	Count	Frequency (%)
	582	100.0%

video_info_width
Real number (ℝ)

High correlation

Distinct	6
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	602.61856

Minimum	540
Maximum	1280
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.7 KiB

Quantile statistics

Minimum	540
5-th percentile	540
Q1	576
median	576
Q3	576
95-th percentile	720
Maximum	1280
Range	740
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	75.553099
Coefficient of variation (CV)	0.12537466
Kurtosis	25.568847
Mean	602.61856
Median Absolute Deviation (MAD)	0
Skewness	3.9573449
Sum	350724
Variance	5708.2708
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
576	429	73.7%
720	100	17.2%
540	47	8.1%
1024	3	0.5%
1280	2	0.3%
608	1	0.2%

Value	Count	Frequency (%)
540	47	8.1%
576	429	73.7%
608	1	0.2%
720	100	17.2%
1024	3	0.5%
1280	2	0.3%

Value	Count	Frequency (%)
1280	2	0.3%
1024	3	0.5%
720	100	17.2%
608	1	0.2%
576	429	73.7%
540	47	8.1%

video_info_height
Real number (ℝ)

High correlation

Distinct	18
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1054.7216

Minimum	572
Maximum	1290
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.7 KiB

Quantile statistics

Minimum	572
5-th percentile	960
Q1	1024
median	1024
Q3	1024
95-th percentile	1280
Maximum	1290
Range	718
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	118.1387
Coefficient of variation (CV)	0.11200936
Kurtosis	3.4339768
Mean	1054.7216
Median Absolute Deviation (MAD)	0
Skewness	0.088797173
Sum	613848
Variance	13956.752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
1024	414	71.1%
1280	97	16.7%
960	46	7.9%
576	7	1.2%
720	3	0.5%
1026	2	0.3%
1022	2	0.3%
1276	1	0.2%
572	1	0.2%
1032	1	0.2%
Other values (8)	8	1.4%

Value	Count	Frequency (%)
572	1	0.2%
576	7	1.2%
720	3	0.5%
844	1	0.2%
956	1	0.2%
960	46	7.9%
986	1	0.2%
992	1	0.2%
1022	2	0.3%
1024	414	71.1%

Value	Count	Frequency (%)
1290	1	0.2%
1280	97	16.7%
1276	1	0.2%
1246	1	0.2%
1080	1	0.2%
1032	1	0.2%
1030	1	0.2%
1026	2	0.3%
1024	414	71.1%
1022	2	0.3%

industry_child.value
Text

Distinct	115
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

Length

Max length	46
Median length	26
Mean length	17.407216
Min length	3

Characters and Unicode

Total characters	10131
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	4.8%

Sample

1st row	Games & Utility Software
2nd row	Games & Utility Software
3rd row	Games & Utility Software
4th row	Games & Utility Software
5th row	Games & Utility Software

Value	Count	Frequency (%)
	204	14.2%
services	31	2.2%
sports	31	2.2%
equipment	31	2.2%
platforms	28	1.9%
e-commerce	28	1.9%
clothing	26	1.8%
large	25	1.7%
care	24	1.7%
appliances	21	1.5%
Other values (159)	987	68.7%

Most occurring characters

Value	Count	Frequency (%)
e	993	9.8%
	854	8.4%
i	718	7.1%
r	647	6.4%
o	647	6.4%
s	600	5.9%
t	562	5.5%
a	547	5.4%
n	480	4.7%
c	398	3.9%
Other values (43)	3685	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10131	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	993	9.8%
	854	8.4%
i	718	7.1%
r	647	6.4%
o	647	6.4%
s	600	5.9%
t	562	5.5%
a	547	5.4%
n	480	4.7%
c	398	3.9%
Other values (43)	3685	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10131	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	993	9.8%
	854	8.4%
i	718	7.1%
r	647	6.4%
o	647	6.4%
s	600	5.9%
t	562	5.5%
a	547	5.4%
n	480	4.7%
c	398	3.9%
Other values (43)	3685	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10131	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	993	9.8%
	854	8.4%
i	718	7.1%
r	647	6.4%
o	647	6.4%
s	600	5.9%
t	562	5.5%
a	547	5.4%
n	480	4.7%
c	398	3.9%
Other values (43)	3685	36.4%

industry_parent.value
Categorical

High correlation

Distinct	21
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	40.8 KiB

News & Entertainment	42
Apps	42
Games	40
Sports & Outdoor	38
Beauty & Personal Care	38
Other values (16)	382

Length

Max length	24
Median length	18
Mean length	14.522337
Min length	4

Characters and Unicode

Total characters	8452
Distinct characters	44
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	News & Entertainment
2nd row	News & Entertainment
3rd row	News & Entertainment
4th row	News & Entertainment
5th row	News & Entertainment

Common Values

Value	Count	Frequency (%)
News & Entertainment	42	7.2%
Apps	42	7.2%
Games	40	6.9%
Sports & Outdoor	38	6.5%
Beauty & Personal Care	38	6.5%
Business Services	36	6.2%
Apparel & Accessories	31	5.3%
E-Commerce (Non-app)	28	4.8%
Food & Beverage	27	4.6%
Household Products	25	4.3%
Other values (11)	235	40.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	242	18.9%
services	79	6.2%
apps	42	3.3%
news	42	3.3%
entertainment	42	3.3%
games	40	3.1%
sports	38	3.0%
outdoor	38	3.0%
beauty	38	3.0%
personal	38	3.0%
Other values (26)	639	50.0%

Most occurring characters

Value	Count	Frequency (%)
e	1000	11.8%
	696	8.2%
s	637	7.5%
r	541	6.4%
a	498	5.9%
o	492	5.8%
t	459	5.4%
n	420	5.0%
i	405	4.8%
c	348	4.1%
Other values (34)	2956	35.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8452	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1000	11.8%
	696	8.2%
s	637	7.5%
r	541	6.4%
a	498	5.9%
o	492	5.8%
t	459	5.4%
n	420	5.0%
i	405	4.8%
c	348	4.1%
Other values (34)	2956	35.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8452	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1000	11.8%
	696	8.2%
s	637	7.5%
r	541	6.4%
a	498	5.9%
o	492	5.8%
t	459	5.4%
n	420	5.0%
i	405	4.8%
c	348	4.1%
Other values (34)	2956	35.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8452	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1000	11.8%
	696	8.2%
s	637	7.5%
r	541	6.4%
a	498	5.9%
o	492	5.8%
t	459	5.4%
n	420	5.0%
i	405	4.8%
c	348	4.1%
Other values (34)	2956	35.0%

objective_id
Categorical

High correlation

Distinct	3
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	33.1 KiB

3	415
2	116
14	51

Length

Max length	2
Median length	1
Mean length	1.0876289
Min length	1

Characters and Unicode

Total characters	633
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
3	415	71.3%
2	116	19.9%
14	51	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	415	71.3%
2	116	19.9%
14	51	8.8%

Most occurring characters

Value	Count	Frequency (%)
3	415	65.6%
2	116	18.3%
1	51	8.1%
4	51	8.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	633	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	415	65.6%
2	116	18.3%
1	51	8.1%
4	51	8.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	633	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	415	65.6%
2	116	18.3%
1	51	8.1%
4	51	8.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	633	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	415	65.6%
2	116	18.3%
1	51	8.1%
4	51	8.1%

objective_value
Categorical

High correlation

Distinct	3
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	39.0 KiB

Conversions	415
App Installs	116
Product sales	51

Length

Max length	13
Median length	11
Mean length	11.37457
Min length	11

Characters and Unicode

Total characters	6620
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	App Installs
2nd row	App Installs
3rd row	App Installs
4th row	App Installs
5th row	App Installs

Common Values

Value	Count	Frequency (%)
Conversions	415	71.3%
App Installs	116	19.9%
Product sales	51	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
conversions	415	55.4%
app	116	15.5%
installs	116	15.5%
product	51	6.8%
sales	51	6.8%

Most occurring characters

Value	Count	Frequency (%)
s	1164	17.6%
n	946	14.3%
o	881	13.3%
e	466	7.0%
r	466	7.0%
C	415	6.3%
v	415	6.3%
i	415	6.3%
l	283	4.3%
p	232	3.5%
Other values (9)	937	14.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6620	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	1164	17.6%
n	946	14.3%
o	881	13.3%
e	466	7.0%
r	466	7.0%
C	415	6.3%
v	415	6.3%
i	415	6.3%
l	283	4.3%
p	232	3.5%
Other values (9)	937	14.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6620	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	1164	17.6%
n	946	14.3%
o	881	13.3%
e	466	7.0%
r	466	7.0%
C	415	6.3%
v	415	6.3%
i	415	6.3%
l	283	4.3%
p	232	3.5%
Other values (9)	937	14.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6620	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	1164	17.6%
n	946	14.3%
o	881	13.3%
e	466	7.0%
r	466	7.0%
C	415	6.3%
v	415	6.3%
i	415	6.3%
l	283	4.3%
p	232	3.5%
Other values (9)	937	14.2%

creative_features_creative_theme
Categorical

High correlation

Distinct	9
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	44.1 KiB

Product-Centric	221
Promotional & Offer-Based	129
Educational & Explainer	58
Lifestyle & Aspirational	49
Testimonial & Social Proof	37
Other values (4)	88

Length

Max length	28
Median length	26
Mean length	20.350515
Min length	14

Characters and Unicode

Total characters	11844
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Promotional & Offer-Based
2nd row	Product-Centric
3rd row	Educational & Explainer
4th row	Lifestyle & Aspirational
5th row	Product-Centric

Common Values

Value	Count	Frequency (%)
Product-Centric	221	38.0%
Promotional & Offer-Based	129	22.2%
Educational & Explainer	58	10.0%
Lifestyle & Aspirational	49	8.4%
Testimonial & Social Proof	37	6.4%
Humor & Entertainment	32	5.5%
Not Applicable	24	4.1%
Brand Story & Mission-Driven	20	3.4%
Trend-Based & Reactive	12	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	337	25.2%
product-centric	221	16.5%
offer-based	129	9.6%
promotional	129	9.6%
educational	58	4.3%
explainer	58	4.3%
lifestyle	49	3.7%
aspirational	49	3.7%
social	37	2.8%
proof	37	2.8%
Other values (10)	233	17.4%

Most occurring characters

Value	Count	Frequency (%)
r	980	8.3%
o	959	8.1%
t	916	7.7%
i	852	7.2%
e	828	7.0%
	755	6.4%
n	720	6.1%
a	704	5.9%
c	573	4.8%
l	465	3.9%
Other values (26)	4092	34.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11844	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	980	8.3%
o	959	8.1%
t	916	7.7%
i	852	7.2%
e	828	7.0%
	755	6.4%
n	720	6.1%
a	704	5.9%
c	573	4.8%
l	465	3.9%
Other values (26)	4092	34.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11844	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	980	8.3%
o	959	8.1%
t	916	7.7%
i	852	7.2%
e	828	7.0%
	755	6.4%
n	720	6.1%
a	704	5.9%
c	573	4.8%
l	465	3.9%
Other values (26)	4092	34.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11844	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	980	8.3%
o	959	8.1%
t	916	7.7%
i	852	7.2%
e	828	7.0%
	755	6.4%
n	720	6.1%
a	704	5.9%
c	573	4.8%
l	465	3.9%
Other values (26)	4092	34.5%

creative_features_creative_concept
Categorical

High correlation

Distinct	21
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	39.6 KiB

Product demo	253
None	98
Limited-time offer	82
Day-in-the-life story	36
Before-and-after story	24
Other values (16)	89

Length

Max length	34
Median length	28
Mean length	12.498282
Min length	3

Characters and Unicode

Total characters	7274
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Product demo
2nd row	Product demo
3rd row	Product demo
4th row	Before-and-after story
5th row	Product demo

Common Values

Value	Count	Frequency (%)
Product demo	253	43.5%
None	98	16.8%
Limited-time offer	82	14.1%
Day-in-the-life story	36	6.2%
Before-and-after story	24	4.1%
FAQ	14	2.4%
Unboxing	13	2.2%
Cinematic brand film	7	1.2%
Meme-based content	7	1.2%
Behind-the-scenes	7	1.2%
Other values (11)	41	7.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
product	253	24.6%
demo	253	24.6%
none	98	9.5%
limited-time	82	8.0%
offer	82	8.0%
story	64	6.2%
day-in-the-life	36	3.5%
before-and-after	24	2.3%
faq	14	1.4%
unboxing	13	1.3%
Other values (25)	110	10.7%

Most occurring characters

Value	Count	Frequency (%)
e	869	11.9%
o	831	11.4%
d	652	9.0%
t	598	8.2%
r	503	6.9%
m	449	6.2%
	447	6.1%
i	391	5.4%
c	284	3.9%
-	264	3.6%
Other values (29)	1986	27.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7274	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	869	11.9%
o	831	11.4%
d	652	9.0%
t	598	8.2%
r	503	6.9%
m	449	6.2%
	447	6.1%
i	391	5.4%
c	284	3.9%
-	264	3.6%
Other values (29)	1986	27.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7274	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	869	11.9%
o	831	11.4%
d	652	9.0%
t	598	8.2%
r	503	6.9%
m	449	6.2%
	447	6.1%
i	391	5.4%
c	284	3.9%
-	264	3.6%
Other values (29)	1986	27.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7274	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	869	11.9%
o	831	11.4%
d	652	9.0%
t	598	8.2%
r	503	6.9%
m	449	6.2%
	447	6.1%
i	391	5.4%
c	284	3.9%
-	264	3.6%
Other values (29)	1986	27.3%

creative_features_format_production_style
Categorical

Imbalance

Distinct	6
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	39.6 KiB

Native Video	532
Static Image	25
Animation & Motion Graphics	19
High-Production Video	3
Carousel	2

Length

Max length	27
Median length	12
Mean length	12.534364
Min length	8

Characters and Unicode

Total characters	7295
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	Native Video
2nd row	Native Video
3rd row	Animation & Motion Graphics
4th row	Animation & Motion Graphics
5th row	Animation & Motion Graphics

Common Values

Value	Count	Frequency (%)
Native Video	532	91.4%
Static Image	25	4.3%
Animation & Motion Graphics	19	3.3%
High-Production Video	3	0.5%
Carousel	2	0.3%
Gamified Experience	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
video	535	44.6%
native	532	44.3%
static	25	2.1%
image	25	2.1%
animation	19	1.6%
	19	1.6%
motion	19	1.6%
graphics	19	1.6%
high-production	3	0.2%
carousel	2	0.2%
Other values (2)	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
i	1177	16.1%
e	1098	15.1%
a	623	8.5%
t	623	8.5%
	618	8.5%
o	600	8.2%
d	539	7.4%
V	535	7.3%
N	532	7.3%
v	532	7.3%
Other values (23)	418	5.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7295	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	1177	16.1%
e	1098	15.1%
a	623	8.5%
t	623	8.5%
	618	8.5%
o	600	8.2%
d	539	7.4%
V	535	7.3%
N	532	7.3%
v	532	7.3%
Other values (23)	418	5.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7295	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	1177	16.1%
e	1098	15.1%
a	623	8.5%
t	623	8.5%
	618	8.5%
o	600	8.2%
d	539	7.4%
V	535	7.3%
N	532	7.3%
v	532	7.3%
Other values (23)	418	5.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7295	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	1177	16.1%
e	1098	15.1%
a	623	8.5%
t	623	8.5%
	618	8.5%
o	600	8.2%
d	539	7.4%
V	535	7.3%
N	532	7.3%
v	532	7.3%
Other values (23)	418	5.7%

creative_features_talent_type
Categorical

Distinct	8
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	37.0 KiB

None	229
Customers	115
Unclear	101
Influencers	50
Actors	44
Other values (3)	43

Length

Max length	40
Median length	35
Mean length	7.7989691
Min length	4

Characters and Unicode

Total characters	4539
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Influencers
2nd row	None
3rd row	None
4th row	None
5th row	None

Common Values

Value	Count	Frequency (%)
None	229	39.3%
Customers	115	19.8%
Unclear	101	17.4%
Influencers	50	8.6%
Actors	44	7.6%
Combination of actors and customers	25	4.3%
Experts	16	2.7%
Combination of influencers and customers	2	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
none	229	33.2%
customers	142	20.6%
unclear	101	14.6%
actors	69	10.0%
influencers	52	7.5%
combination	27	3.9%
of	27	3.9%
and	27	3.9%
experts	16	2.3%

Most occurring characters

Value	Count	Frequency (%)
e	592	13.0%
o	521	11.5%
n	515	11.3%
s	421	9.3%
r	380	8.4%
t	254	5.6%
c	249	5.5%
N	229	5.0%
u	194	4.3%
a	180	4.0%
Other values (14)	1004	22.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	592	13.0%
o	521	11.5%
n	515	11.3%
s	421	9.3%
r	380	8.4%
t	254	5.6%
c	249	5.5%
N	229	5.0%
u	194	4.3%
a	180	4.0%
Other values (14)	1004	22.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	592	13.0%
o	521	11.5%
n	515	11.3%
s	421	9.3%
r	380	8.4%
t	254	5.6%
c	249	5.5%
N	229	5.0%
u	194	4.3%
a	180	4.0%
Other values (14)	1004	22.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	592	13.0%
o	521	11.5%
n	515	11.3%
s	421	9.3%
r	380	8.4%
t	254	5.6%
c	249	5.5%
N	229	5.0%
u	194	4.3%
a	180	4.0%
Other values (14)	1004	22.1%

creative_features_demographic_representation
Categorical

Distinct	12
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	41.8 KiB

No People Featured	152
Primarily Female	128
Unclear	102
Primarily Male	60
Primarily Young Adults	50
Other values (7)	90

Length

Max length	32
Median length	28
Mean length	16.242268
Min length	7

Characters and Unicode

Total characters	9453
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	Primarily Male
2nd row	No People Featured
3rd row	No People Featured
4th row	Primarily Female
5th row	No People Featured

Common Values

Value	Count	Frequency (%)
No People Featured	152	26.1%
Primarily Female	128	22.0%
Unclear	102	17.5%
Primarily Male	60	10.3%
Primarily Young Adults	50	8.6%
Diverse Age Range	43	7.4%
Diverse Gender Representation	24	4.1%
Diverse Ethnic Representation	10	1.7%
Primarily Middle-Aged Adults	5	0.9%
Primarily Asian	4	0.7%
Other values (2)	4	0.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
primarily	251	18.6%
no	152	11.3%
featured	152	11.3%
people	152	11.3%
female	128	9.5%
unclear	102	7.6%
diverse	77	5.7%
male	60	4.4%
adults	58	4.3%
young	50	3.7%
Other values (10)	168	12.4%

Most occurring characters

Value	Count	Frequency (%)
e	1430	15.1%
r	896	9.5%
a	777	8.2%
	768	8.1%
l	760	8.0%
i	634	6.7%
P	403	4.3%
o	388	4.1%
m	380	4.0%
n	303	3.2%
Other values (26)	2714	28.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9453	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1430	15.1%
r	896	9.5%
a	777	8.2%
	768	8.1%
l	760	8.0%
i	634	6.7%
P	403	4.3%
o	388	4.1%
m	380	4.0%
n	303	3.2%
Other values (26)	2714	28.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9453	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1430	15.1%
r	896	9.5%
a	777	8.2%
	768	8.1%
l	760	8.0%
i	634	6.7%
P	403	4.3%
o	388	4.1%
m	380	4.0%
n	303	3.2%
Other values (26)	2714	28.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9453	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1430	15.1%
r	896	9.5%
a	777	8.2%
	768	8.1%
l	760	8.0%
i	634	6.7%
P	403	4.3%
o	388	4.1%
m	380	4.0%
n	303	3.2%
Other values (26)	2714	28.7%

creative_features_audience_focus
Categorical

Distinct	5
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	39.3 KiB

Problem Aware	173
Unclear	138
Product Aware	112
Solution Aware	112
Unaware Audience	47

Length

Max length	16
Median length	14
Mean length	12.012027
Min length	7

Characters and Unicode

Total characters	6991
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unaware Audience
2nd row	Unaware Audience
3rd row	Unaware Audience
4th row	Unclear
5th row	Unaware Audience

Common Values

Value	Count	Frequency (%)
Problem Aware	173	29.7%
Unclear	138	23.7%
Product Aware	112	19.2%
Solution Aware	112	19.2%
Unaware Audience	47	8.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
aware	397	38.7%
problem	173	16.9%
unclear	138	13.5%
product	112	10.9%
solution	112	10.9%
unaware	47	4.6%
audience	47	4.6%

Most occurring characters

Value	Count	Frequency (%)
r	867	12.4%
e	849	12.1%
a	629	9.0%
o	509	7.3%
w	444	6.4%
	444	6.4%
A	444	6.4%
l	423	6.1%
n	344	4.9%
c	297	4.2%
Other values (9)	1741	24.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6991	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	867	12.4%
e	849	12.1%
a	629	9.0%
o	509	7.3%
w	444	6.4%
	444	6.4%
A	444	6.4%
l	423	6.1%
n	344	4.9%
c	297	4.2%
Other values (9)	1741	24.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6991	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	867	12.4%
e	849	12.1%
a	629	9.0%
o	509	7.3%
w	444	6.4%
	444	6.4%
A	444	6.4%
l	423	6.1%
n	344	4.9%
c	297	4.2%
Other values (9)	1741	24.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6991	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	867	12.4%
e	849	12.1%
a	629	9.0%
o	509	7.3%
w	444	6.4%
	444	6.4%
A	444	6.4%
l	423	6.1%
n	344	4.9%
c	297	4.2%
Other values (9)	1741	24.9%

creative_features_campaign_objective
Categorical

Distinct	7
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Sales	259
Awareness	115
App Promotion	94
Engagement	57
Unclear	28
Other values (2)	29

Length

Max length	13
Median length	10
Mean length	7.6924399
Min length	5

Characters and Unicode

Total characters	4477
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	App Promotion
2nd row	Awareness
3rd row	Awareness
4th row	Engagement
5th row	App Promotion

Common Values

Value	Count	Frequency (%)
Sales	259	44.5%
Awareness	115	19.8%
App Promotion	94	16.2%
Engagement	57	9.8%
Unclear	28	4.8%
Leads	22	3.8%
Traffic	7	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sales	259	38.3%
awareness	115	17.0%
app	94	13.9%
promotion	94	13.9%
engagement	57	8.4%
unclear	28	4.1%
leads	22	3.3%
traffic	7	1.0%

Most occurring characters

Value	Count	Frequency (%)
e	653	14.6%
s	511	11.4%
a	488	10.9%
n	351	7.8%
l	287	6.4%
o	282	6.3%
S	259	5.8%
r	244	5.5%
A	209	4.7%
p	188	4.2%
Other values (14)	1005	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4477	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	653	14.6%
s	511	11.4%
a	488	10.9%
n	351	7.8%
l	287	6.4%
o	282	6.3%
S	259	5.8%
r	244	5.5%
A	209	4.7%
p	188	4.2%
Other values (14)	1005	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4477	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	653	14.6%
s	511	11.4%
a	488	10.9%
n	351	7.8%
l	287	6.4%
o	282	6.3%
S	259	5.8%
r	244	5.5%
A	209	4.7%
p	188	4.2%
Other values (14)	1005	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4477	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	653	14.6%
s	511	11.4%
a	488	10.9%
n	351	7.8%
l	287	6.4%
o	282	6.3%
S	259	5.8%
r	244	5.5%
A	209	4.7%
p	188	4.2%
Other values (14)	1005	22.4%

Interactions

Correlations

	cost	creative_features_audience_focus	creative_features_campaign_objective	creative_features_creative_concept	creative_features_creative_theme	creative_features_demographic_representation	creative_features_format_production_style	creative_features_talent_type	ctr	id	industry_parent.value	like	objective_id	objective_value	scrap_datetime	video_info_duration	video_info_height	video_info_width
cost	1.000	0.123	0.123	0.000	0.106	0.085	0.108	0.034	0.000	0.083	0.140	0.000	0.058	0.058	0.168	0.000	0.000	0.000
creative_features_audience_focus	0.123	1.000	0.367	0.278	0.312	0.153	0.190	0.226	0.033	0.071	0.325	0.018	0.227	0.227	0.361	0.085	0.085	0.096
creative_features_campaign_objective	0.123	0.367	1.000	0.326	0.432	0.156	0.149	0.190	0.050	0.102	0.399	0.000	0.412	0.412	0.444	0.037	0.074	0.037
creative_features_creative_concept	0.000	0.278	0.326	1.000	0.558	0.064	0.334	0.128	0.173	0.186	0.174	0.000	0.170	0.170	0.200	0.000	0.200	0.010
creative_features_creative_theme	0.106	0.312	0.432	0.558	1.000	0.169	0.150	0.189	0.000	0.028	0.285	0.000	0.244	0.244	0.310	0.139	0.099	0.000
creative_features_demographic_representation	0.085	0.153	0.156	0.064	0.169	1.000	0.000	0.392	0.000	0.138	0.173	0.000	0.152	0.152	0.153	0.114	0.068	0.118
creative_features_format_production_style	0.108	0.190	0.149	0.334	0.150	0.000	1.000	0.099	0.000	0.093	0.161	0.000	0.162	0.162	0.195	0.062	0.067	0.186
creative_features_talent_type	0.034	0.226	0.190	0.128	0.189	0.392	0.099	1.000	0.000	0.110	0.229	0.000	0.152	0.152	0.234	0.164	0.000	0.000
ctr	0.000	0.033	0.050	0.173	0.000	0.000	0.000	0.000	1.000	-0.429	0.118	0.055	0.355	0.355	0.548	0.142	0.027	0.036
id	0.083	0.071	0.102	0.186	0.028	0.138	0.093	0.110	-0.429	1.000	0.186	-0.121	0.000	0.000	0.000	-0.034	0.096	0.072
industry_parent.value	0.140	0.325	0.399	0.174	0.285	0.173	0.161	0.229	0.118	0.186	1.000	0.000	0.416	0.416	0.977	0.081	0.147	0.056
like	0.000	0.018	0.000	0.000	0.000	0.000	0.000	0.000	0.055	-0.121	0.000	1.000	0.000	0.000	0.000	-0.067	0.003	-0.011
objective_id	0.058	0.227	0.412	0.170	0.244	0.152	0.162	0.152	0.355	0.000	0.416	0.000	1.000	1.000	0.961	0.144	0.100	0.000
objective_value	0.058	0.227	0.412	0.170	0.244	0.152	0.162	0.152	0.355	0.000	0.416	0.000	1.000	1.000	0.961	0.144	0.100	0.000
scrap_datetime	0.168	0.361	0.444	0.200	0.310	0.153	0.195	0.234	0.548	0.000	0.977	0.000	0.961	0.961	1.000	0.214	0.087	0.000
video_info_duration	0.000	0.085	0.037	0.000	0.139	0.114	0.062	0.164	0.142	-0.034	0.081	-0.067	0.144	0.144	0.214	1.000	0.049	0.095
video_info_height	0.000	0.085	0.074	0.200	0.099	0.068	0.067	0.000	0.027	0.096	0.147	0.003	0.100	0.100	0.087	0.049	1.000	0.864
video_info_width	0.000	0.096	0.037	0.010	0.000	0.118	0.186	0.000	0.036	0.072	0.056	-0.011	0.000	0.000	0.000	0.095	0.864	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	ad_title	brand_name	cost	ctr	favorite	id	is_search	like	tag	detail_analysis	scrap_datetime	video_name	video_info_vid	video_info_duration	video_info_cover	video_info_width	video_info_height	industry_child.value	industry_parent.value	objective_id	objective_value	creative_features_creative_theme	creative_features_creative_concept	creative_features_format_production_style	creative_features_talent_type	creative_features_demographic_representation	creative_features_audience_focus	creative_features_campaign_objective
0	Great time killer!	Survival Game Master	2	0.01	False	7132878852058906625	True	38213	3.0	This ad is using Product Review to catch audience's attention and improve ads performance.\n\n'All right, I got them all ready. Let's see who wins. Oh, not looking good. Oh, no one want? I guess I get to keep all the money. With more money, I can actually get more contestants. And as you get more money, you can actually unlock more mini games like the. Like the glass bridge game later on down the line. And you can become the survival game masteralright? Let's go ahead. Throw them into the game. Who's gonna win this one? Who do you guys think? It's not looking good. Looks like i'm gonna. I'm gonna keep all the money again. Haha. Click here and download survival game master today.'\n\n1. Showcase: The advertisement demonstrates the game's excitement and unpredictability by showcasing the contestants' reactions and the outcome of the game. This can pique the target audience's interest and encourage them to download the game.\n2. Highlight Selling Points: The voiceover highlights the game's features, such as unlocking more mini-games and becoming the survival game master, which can entice potential players to try the game. Additionally, the text-over displays the game's high rewards, such as $300 and $8.1K, which can further motivate the target audience to download the game.\n	2025-04-04T17:53:16.735723	ad_23000000000_2_0_1	v0911dg40001cbta3ebc77u7vbp6b1gg	30.974	https://p16-sign-va.tiktokcdn.com/tos-maliva-v-2c3654-us/494db6fdb0ea4906be409b526785cb53~tplv-noop.image?x-expires=1743821622&x-signature=dZFSER844mwNCnmfGh9V8DPBHjI%3D	720	1280	Games & Utility Software	News & Entertainment	2	App Installs	Promotional & Offer-Based	Product demo	Native Video	Influencers	Primarily Male	Unaware Audience	App Promotion
1	Oddly satisfying game	Gameworld Master	2	0.01	False	7109275920046178305	True	14299	3.0	This ad is using Strategy Focused to catch audience's attention and improve ads performance.\n\n1. Attention Grabber: The ad uses a variety of attention-grabbing tactics, such as bold text-overlay and abrupt voice-over interruptions, to capture viewers' attention and draw them into the advertisement.\n2. Highlight Selling Points: The voice-over mentions several selling points, including a 300/2 and 300/1 ratio, VIP, and a 200 price point, which are highlighted to differentiate the product from competitors and increase its appeal to potential buyers.\n	2025-04-04T17:53:16.735723	ad_23000000000_2_1_1	v10033g50000caldhr3c77ub7mthrn5g	37.334	https://p16-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000caldhr3c77ub7mthrn5g/1575517216/719~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746391996&x-signature=PTGBMpJSUHP97IETyxR5NqxYi7s%3D	576	1024	Games & Utility Software	News & Entertainment	2	App Installs	Product-Centric	Product demo	Native Video	None	No People Featured	Unaware Audience	Awareness
2	My friend recommended me to play this game	Sugarcane Inc. Empire Tycoon	0	0.02	False	7077499601561305089	True	2427	unknown		2025-04-04T17:53:16.735723	ad_23000000000_2_2_1	v10033g50000cfgfgl3c77u9fehpnd8g	17.323	https://p19-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cfgfgl3c77u9fehpnd8g/1575517216/217~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746391996&x-signature=dzAgIECB3qQyC6WaS%2Foe%2FXlkCq0%3D	576	1024	Games & Utility Software	News & Entertainment	2	App Installs	Educational & Explainer	Product demo	Animation & Motion Graphics	None	No People Featured	Unaware Audience	Awareness
3	download now	Smart VPN - Fast, Stable	2	0.02	False	7176836203668783106	True	124771	3.0	This ad is using Oddly Satisfying to catch audience's attention and improve ads performance.\n\n1. Comment Reply: The ad creatively utilizes comment reply as a hook to grab the audience's attention. By incorporating a popular character from Frozen, the advertisement is able to connect with a wide audience, especially children and families.\n2. Respond to Comments: The ad effectively responds to comments made by the audience, showcasing the brand's engagement and interaction with its customers. This technique can increase customer loyalty and encourage more people to interact with the brand.\n3. Highlight Selling Points: The ad highlights the unique selling point of the product, which is the ability to undo paint strokes. This feature is emphasized through the use of the phrase "Undo Paint stroke", creating an impression that the product is innovative and user-friendly.\n	2025-04-04T17:53:16.735723	ad_23000000000_2_3_1	v10033g50000cuqnqlnog65qepkj72vg	53.015	https://p19-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cuqnqlnog65qepkj72vg/1575517216/852~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746391996&x-signature=%2BUNX5vm4v0V0rWJDmD%2BP9TX81XI%3D	720	1280	Games & Utility Software	News & Entertainment	2	App Installs	Lifestyle & Aspirational	Before-and-after story	Animation & Motion Graphics	None	Primarily Female	Unclear	Engagement
4	Play ten minutes a day to relieve stress!	Sugarcane Factory 3D	0	0.02	False	7077499507373899777	True	2739	unknown		2025-04-04T17:53:16.735723	ad_23000000000_2_4_1	v10033g50000cfl0uujc77u563dfii20	14.016	https://p16-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cfl0uujc77u563dfii20/1575517216/375~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746391996&x-signature=QZDWtxw%2FFr%2Be8slvJATQCfipPBI%3D	576	1024	Games & Utility Software	News & Entertainment	2	App Installs	Product-Centric	Product demo	Animation & Motion Graphics	None	No People Featured	Unaware Audience	App Promotion
5	Stay social while social-distancing.	LiveMe – Live Stream & Go Live	1	0.02	False	7140228677053972482	True	5491	unknown	This ad is using Product Review to catch audience's attention and improve ads performance.\n\n'Can you do my edges so I can get on live me? What is live me? Live you listen. Live me. Live me as an apple. We can go live, you know, get a lot of viewers and it be some fine dudes on here. Where? On who? On live me in. What is it? And hold on, hold on. Download this app. Download lives me so you can talk to girls like us.'\n\n1. Product Features: The ad highlights the app's capabilities of allowing users to talk to other people in real-time, and the speaker expresses their desire to use the app to improve their appearance.\n2. Product Review: The speaker provides a first-person account of their experience with the app, mentioning the potential for attracting a large audience and finding 'fine dudes' on the platform.\n3. Highlight Selling Points: The ad emphasizes the app's ability to allow users to talk to girls and the potential for attracting a large audience, which are likely to be appealing features to the target audience.\n	2025-04-04T17:53:16.735723	ad_23000000000_2_5_1	v0911dg40001ccb8iurc77u9qur48j70	19.318	https://p16-sign-va.tiktokcdn.com/tos-maliva-v-2c3654-us/40cfa29197384e17bbe9a73579448b74~tplv-noop.image?x-expires=1743821611&x-signature=o5VJpfvG0tUHf7Jt4FgpC58AxMU%3D	720	1280	Relationship Information	News & Entertainment	2	App Installs	Not Applicable	None	Native Video	Customers	Primarily Female	Unaware Audience	App Promotion
6	Swallow 'em all	Attack Hole	1	0.03	False	7228439319760535554	True	1811	unknown	This ad is using Rhetorical Question to catch audience's attention and improve ads performance.\n\n'Hey, babe, how big is your hole? What? We're in public, bro. No, I mean your hole. In that hole. Oh, I need to get my hole bigger. Bigger and bigger. By collecting these objects before the time runs out. Till my hole can swallow everything. Can we be this big giant man? Download attack hole today.'\n\n1. Attention Grabber: The video's opening line, "Hey, babe, how big is your hole?", is an attention grabber that piques the viewer's interest and encourages them to continue watching. The use of the word "hole" is intentionally provocative and may elicit a reaction from some viewers.\n2. Highlight Selling Points: The ad highlights the objective of the game, which is to collect objects to enlarge a hole, and the potential for the player to become a "big giant man". This concept is likely to resonate with the target audience and motivate them to engage with the game.\n	2025-04-04T17:53:16.735723	ad_23000000000_2_6_1	v0911dg40001ch8946nog65oubt50a70	25.250	https://p16-sign-va.tiktokcdn.com/tos-maliva-v-2c3654-us/2e6f83ab56ee481091d1f8568d697fcd~tplv-noop.image?x-expires=1743821617&x-signature=2L7R6hwmx6BXLO1p2aTXsmf9gq0%3D	720	1280	Other News & Entertainment	News & Entertainment	2	App Installs	Humor & Entertainment	Product demo	Native Video	Combination of actors and customers	Diverse Gender Representation	Unaware Audience	App Promotion
7	Check Out my new SUPERCAR!	Car Games ·	2	0.03	False	7123282891630772226	True	2681	unknown	This ad is using Relatable Problem to catch audience's attention and improve ads performance.\n\n'Does anyone remember this game? This is what it's like now lmao.'\n\n1. Relatable Problem: The ad starts off by addressing a relatable problem, asking the audience if they remember a certain game. This immediately captures the audience's attention and creates a sense of nostalgia. By showing how the game has changed since then, it further emphasizes the relatability and allows the audience to connect with the ad.\n2. Highlight Selling Points: The ad also highlights the selling points of the game, such as the 'SCHOOL BUS' and 'bet you can't beat my drift' features, as well as the 'とうふ店' text overlay. These selling points help differentiate the game from its competitors and make it more appealing to potential players.\n	2025-04-04T17:53:16.735723	ad_23000000000_2_7_1	v10033g50000cbdfo43c77u67cklnp5g	12.179	https://p16-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cbdfo43c77u67cklnp5g/1575517216/143~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746391996&x-signature=aZtOBaJVQEk4kMvcjLbpJmdJUso%3D	576	1024	Games & Utility Software	News & Entertainment	2	App Installs	Humor & Entertainment	Comparison	Native Video	None	No People Featured	Product Aware	Engagement
8	Be My Guest is the new trend	Be My Guest!	2	0.04	False	7188113660753313794	True	2445	unknown	This ad is using Product Demonstration to catch audience's attention and improve ads performance.\n\n'Hello? We want to rent a luxury house in italy for our honeymoon. Didn't you hear me? What the hell are you doing? Said italy. Fix it quickly! Call me your manager, quickly! It's all your fault!'\n\n1. Attention Grabber: The advertisement begins with a sudden and direct attention grabber, prompting the viewer to listen to the speaker's request.\n2. Problem & Solution: The speaker highlights a problem they face, which is not being able to rent a luxury house in Italy, and the solution they seek from the viewer, which is to fix the issue quickly.\n3. Highlight Selling Points: The ad emphasizes the importance of renting a luxury house in Italy for a honeymoon, which is perceived as a unique and desirable experience.\n	2025-04-04T17:53:16.735723	ad_23000000000_2_8_1	v10033g50000cf8l1irc77u7amn6erug	13.014	https://p19-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cf8l1irc77u7amn6erug/1575517216/265~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746391996&x-signature=1SopkRheDz62Jz%2B1rSToV5czXik%3D	576	1024	Other News & Entertainment	News & Entertainment	2	App Installs	Humor & Entertainment	Day-in-the-life story	Animation & Motion Graphics	None	No People Featured	Unclear	Unclear
9	Play now or Cry later	Be My Guest	2	0.04	False	7169928916990312449	True	8503	unknown	This ad is using Problem & Solution to catch audience's attention and improve ads performance.\n\n'My tenants are very happy because I charge well below market prices and make them live in crappy houses. Then I buy more houses with the money I save from them. I'm very close to building a real estate empire.'\n\n1. Attention Grabber: The advertisement uses a controversial statement to grab the audience's attention, highlighting the disparity between the low rent charged and the poor living conditions. This technique may pique the curiosity of potential viewers and encourage them to continue watching the ad.\n2. Highlight Selling Points: The ad emphasizes the affordability of the properties and the opportunity to live in a desirable location for a lower price. The mention of the tenants being 'very happy' suggests that the landlord is providing value to their residents.\n	2025-04-04T17:53:16.735723	ad_23000000000_2_9_1	v10033g50000cees7urc77ue9bgulc90	30.016	https://p19-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cees7urc77ue9bgulc90/1575517216/739~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746391996&x-signature=c15xXLvNy3ssgCdZ%2B%2FWEwYnaSwc%3D	576	1024	Other News & Entertainment	News & Entertainment	2	App Installs	Humor & Entertainment	Day-in-the-life story	Native Video	None	No People Featured	Unclear	App Promotion

	ad_title	brand_name	cost	ctr	favorite	id	is_search	like	tag	detail_analysis	scrap_datetime	video_name	video_info_vid	video_info_duration	video_info_cover	video_info_width	video_info_height	industry_child.value	industry_parent.value	objective_id	objective_value	creative_features_creative_theme	creative_features_creative_concept	creative_features_format_production_style	creative_features_talent_type	creative_features_demographic_representation	creative_features_audience_focus	creative_features_campaign_objective
572	🧟‍♀️🖤💜💚 ZOMBIFIED 💚💜🖤🧟‍♀️ those NEON shades! #neonmakeup #uvmakeup #altmakeup # #makeup #halloweenmakeup #halloweenpalette #gothicmakeup		1	0.38	False	7157344090140180481	True	3720	unknown		2025-04-04T19:02:02.674487	ad_14000000000_14_17_1	v09044g40000cd9ve4bc77ucufg1rmt0	26.307	https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068/507bc72da21c4e428d6de14a851a0a55_1666447557~tplv-noop.image?x-expires=1743825744&x-signature=DHqMKXBSw%2BtIFiXsGuO5mVXWRNk%3D	576	1024	Cosmetics	Beauty & Personal Care	14	Product sales	Product-Centric	Product demo	Native Video	Actors	Diverse Gender Representation	Product Aware	Sales
573	Monster KBB Tacos using our 2 Net Carb Tortillas! @ketohousewife #fyp #keto #kbbq #lowcarb		1	0.01	False	7061134395470790658	True	6223	3.0	This ad is using Product Demonstration to catch audience's attention and improve ads performance.\n\n'sudah bisa tersenyum.'\n\n1. Use Cases: The advertisement showcases a real-life use case of enjoying a meal with tortilla that only has 2 net carbs, which creates a connection with the target audience who are looking for low-carb options in their diet. This approach is effective in demonstrating the practicality of the product in everyday life.\n2. Product Demonstration: The product demonstration is concise and straightforward, with the text-over simply stating 'Tortilla only 2 net carbs btw'. This allows the audience to quickly grasp the main selling point of the product without any unnecessary distractions.\n3. Highlight Selling Points: The main selling point of the tortilla is highlighted effectively through the text-over, which states the product's low net carb count. This information is likely to appeal to health-conscious consumers who are looking for low-carb options in their diet.\n	2025-04-04T19:04:10.315905	ad_27000000000_14_0_1	v12044gd0000c7v2pfbc77u5s8dm3gm0	14.465	https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/70f8e328a7024697b593af0d8c7fbd1c_1644047728~tplv-noop.image?x-expires=1743825864&x-signature=v0DssDniPfk9fnFqKpgxgirhkfM%3D	576	1024	Food & Fresh Produce	Food & Beverage	14	Product sales	Product-Centric	Product demo	Native Video	Customers	Diverse Age Range	Solution Aware	Awareness
574	Reach your ideal customers on TikTok. Get started on TikTok now!	TikTok For Business	2	0.18	False	6930891822495793154	True	67287	3.0	This ad is using Product Demonstration to catch audience's attention and improve ads performance.\n\n1. Endorsements: There are no endorsements in the ad. No voice-over or text-over is used to promote any specific brand or product.\n2. Highlight Selling Points: The ad focuses on promoting TikTok as a platform for businesses, with the call-to-action to sign up now. The text-over displays the name of the platform and the call-to-action, emphasizing the selling point of being a platform specifically designed for businesses.\n	2025-04-04T19:04:30.567421	ad_24000000000_14_0_1	v10033g50000cshphmvog65qg2rt78h0	16.320	https://p19-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cshphmvog65qg2rt78h0/1575517216/815~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746396270&x-signature=v2bGTT9niCfWG%2B4rQ7BdGSN0UWU%3D	576	1024	Marketing & Advertising	Business Services	14	Product sales	Promotional & Offer-Based	None	Native Video	Experts	Primarily Male	Problem Aware	Leads
575	Rev up your pet's playtime. The ultimate exercise toy for your furry friend.	ActiveRollingBall	2	0.08	False	7172740553150382081	True	3182	3.0		2025-04-04T19:04:57.200838	ad_19000000000_14_0_1	v12025gd0000cfnj383c77udvj9vdf70	25.334	https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/cc3e0374c01a4d2dab0f5e3804d8c765~tplv-noop.image?x-expires=1743825922&x-signature=t6AulhVDp6uvN%2BuxYmjYRBZJ8FA%3D	576	1024	Pet Toys	Pets	14	Product sales	Product-Centric	Product demo	Native Video	None	No People Featured	Problem Aware	Sales
576	See why these are a favorite jean! 0-24W. All Judy Blue are amazinf but the tummy control jeans make you feel a bit more SNATCHED ✨ #judyblue #tummycontrol #jeans #tummycontroljeans #tryonhaul		1	0.02	False	7211590884583194626	True	1842	unknown	This ad is using Product Review to catch audience's attention and improve ads performance.\n\n'I'm a plus size girl, and we're about to try on some judy blue tummy control jeans. Let's. Let's check it out. I always get disbelievers. If this pair actually works. I mean, I would be a disbeliever, too. Unless I had it on my body. Yep. Like, totally works, right? When take a good, hard look at these. Okay. Like, yeah, I have a little pooch there still. But you haven't seen nothing yet. Okay? You have not seen anything yet. Let's take a good, hard look at this. Bring down. You can see all the goods there. Okay. Right. Y'all haven't seen anything yet. Let, let. Let's try this view. You guys haven't seen anything. You don't even know what's about to hit you. Do they work? Not at all. Guys, like, look at this. Like, I went from that to this. So for me, i'm a fourteen W in stores, I size down to the GD blue. Fifteen for pretty much every other pair of GD blue other than these. In the tummy control, I size one extra down. I am a size thirteen. And these guys. This is you guys. One more time. I can't believe i'm putting myself out on the internet like this. From this to. This, I mean, I think I would be a very bad friend if I kept this secret all to myself, and I did not share it with all the ladies. These jeans just make you look a little extra fab and amazing on them. Sure. Is my tummy completely gone? No, but only surgery can do that. This is all I got to do is put on a hot pair of jeans to make me feel a little bit more snatched. Um, hi. Sign me up.'\n\n1. Resonate with Target Audience: The speaker begins by addressing the target audience, emphasizing their shared experience as plus-size individuals and creating an instant connection.\n2. Product Review: The ad showcases the product's effectiveness and highlights its selling points, such as the tummy control feature and the fact that it makes the wearer look 'a little extra fab and amazing.'\n3. Highlight Selling Points: The voiceover emphasizes the benefits of the product, such as the tummy control feature and the fact that it makes the wearer look 'a little extra fab and amazing.' The text overlays also highlight the product's benefits.\n	2025-04-04T19:05:13.964623	ad_22000000000_14_0_1	v12044gd0000cg8ic6bc77u4jk6f4sqg	109.085	https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/3e41abd70f74462594532e46053bb0e5_1678845629~tplv-noop.image?x-expires=1743826021&x-signature=JXIGZDyje9G3ITcOBvQkFPpYO4A%3D	720	1280	Women's Clothing	Apparel & Accessories	14	Product sales	Testimonial & Social Proof	Before-and-after story	Native Video	Customers	Primarily Female	Problem Aware	Sales
577	Let’s check out these Judy Blue pull on shorts! The perfect stretchy summer shirt does exist ☀️ #judyblue #shortoutfits #denimshorts #plussizeedition		2	0.02	False	7208678574701985794	True	3435	unknown	This ad is using Product Demonstration to catch audience's attention and improve ads performance.\n\n'The number one style of judy blue in our shop this week so far. It's only wednesday, is this pull on short. And I mean pull on. They are freaking amazing. They have like the perfect summerfabric. I love them. The back pockets are operational because they're like a chain. But real denim. Solook at this guys. You literally can just accept. I don't know how to step into them. You can just step into them and literally pull them up. They are freaking fantastic. Good, soft, stretchy. Amazing material on this. Look at that. Pull them on and golet's talk about these a little bit more. Other than the waist, judy blues, just good soft and stretchy on these. You canthey're just like perfect summer material. They come cuffed as you can see. You can uncuff them. So on a size medium, y'all, they in seems gonna be about a four inch cuffedyou can unroll it to a five inch and seam. And then for the plus size, it's gonna be about a five inch and seam unrolled to a seven. So I love that sometimes i'm wearing a longer shirt, like I had to pull this one up a little bit cause it was almost like covering my shorts, right? I could have just uncuffed my shorts or maybe I was likefeeling insecure that day, wanted to give my legs a little bit more coverage and could have done that as well. So let's take a look at this. This is it gonna be uncuffed one time on mejust a little bit longer and then you've got the two times. So look at that. And both of them got. Look at the stretch on these. They're freaking amazing. If you are not picking them up, they're not gonna be along foraround for long cause they are freaking amazing. Good soft, stretchy. If you haven't tried tik tok shops, there's gonna be a little butts in there kind of where you said the filter, but it's gonna say products or maybe it'll just say the duty blue shortsyou tap. That you can actually check out here on tik tok. We ship from vegas. If you have questions, ask me in the comments. I'll hit you back with some answers, y'all. But the one thing I can tell you is you need these. There are number one short this week right now for a reason.'\n\n1. Reviews/Popularity: The ad starts by highlighting the popularity of the product, stating it as the number one style in the shop that week. This strategy effectively leverages social proof and encourages viewers to take action.\n2. Product Review: The voiceover provides a positive review of the product, emphasizing its softness, stretchiness, and perfect summer fabric. This method helps build trust and credibility with potential customers.\n3. Product Demonstration: The host demonstrates the product by pulling them on and showing their features, such as the perfect fit and the chain detail on the back pocket. This helps viewers visualize themselves wearing the product and understand its quality.\n4. Highlight Selling Points: The ad highlights several selling points, including the material, fit, and versatility of the product. By emphasizing these key benefits, the ad effectively differentiates the product from competitors and persuades viewers to make a purchase.\n	2025-04-04T19:05:13.964623	ad_22000000000_14_1_1	v12044gd0000cg0j68rc77ublve1g350	129.677	https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/230305747c954469aa5455531a54a0a6_1677800499~tplv-noop.image?x-expires=1743826042&x-signature=x2NtW%2FaIuc6lYCOyQyHMew4u91U%3D	720	1280	Women's Clothing	Apparel & Accessories	14	Product sales	Product-Centric	Product demo	Native Video	Unclear	Primarily Female	Product Aware	Sales
578	Back to school clothing haul W/ @calithekid_ - Free Shipping On All Orders	TwillMKT	2	0.03	False	7138658492106047490	True	22938	3.0	This ad is using Unboxing to catch audience's attention and improve ads performance.\n\n'Be unboxing all these clothes at twelve markets in ME. So without further ado, let's get into it. We'll be doing some styling videos with these in the future. First we got these flare pants right here. And some carpenter pants. Then we got these green cargo pants. Michael jordan is a GOAT. No debates. Kanye T, some slight just love yourself t shirt. Big shout out to twelve market for the clothes. Appreciate y'all.'\n\n1. Use Cases: The ad uses the hook of demonstrating the clothing items and the use cases for each item, creating a sense of anticipation and excitement for the viewers.\n2. Unboxing: The ad features an unboxing segment, showcasing the items in a visually engaging way and creating a sense of surprise and satisfaction.\n3. Highlight Selling Points: The ad highlights the selling points of the products, such as the Michael Jordan and Kanye West t-shirts, and emphasizes the quality and style of the items.\n	2025-04-04T19:05:13.964623	ad_22000000000_14_2_1	v10033g50000chhvg5fog65ua00c6e60	21.884	https://p16-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/cc292815bf6e434892675690e80e5979~tplv-noop.image?x-expires=1743825935&x-signature=5aNRYHmW74aylEURzW7edsQ%2BzDE%3D	576	1024	Men's Clothing	Apparel & Accessories	14	Product sales	Product-Centric	Unboxing	Native Video	Influencers	Primarily Young Adults	Product Aware	Sales
579	You Sold These Out Last Time	JEM CITY	2	0.13	False	7154668616717778946	True	7150	3.0		2025-04-04T19:05:13.964623	ad_22000000000_14_3_1	v10033g50000cga9vcbc77u9jqnibftg	9.067	https://p16-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cga9vcbc77u9jqnibftg/1575517216/166~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746396313&x-signature=YiL%2B4dQDHbXqXPwlhAIL0%2BB4agA%3D	576	1024	Men's Clothing	Apparel & Accessories	14	Product sales	Product-Centric	Product demo	Native Video	None	No People Featured	Unclear	Sales
580	Vintage Inspired Fleeces! Buy yours.	JEM CITY	2	0.14	False	7154671305471754241	True	4427	3.0		2025-04-04T19:05:13.964623	ad_22000000000_14_4_1	v10033g50000cg9f4hrc77u9jqni80og	9.126	https://p16-cc-sign-sg.tiktokcdn.com/tos-alisg-p-0051c001-sg/v10033g50000cg9f4hrc77u9jqni80og/1575517216/254~tplv-yenboaefse-image.jpeg?lk3s=317596d8&x-expires=1746396313&x-signature=9PXa9j%2B3QmSOVLVmFHpc4rw56wM%3D	576	1024	Men's Clothing	Apparel & Accessories	14	Product sales	Product-Centric	Product demo	Native Video	None	No People Featured	Unclear	Awareness
581	Our new Micro Bags hold more than you think! 💁🏻‍♀️		2	0.30	False	7221539646094213121	True	3778	2.0		2025-04-04T19:05:13.964623	ad_22000000000_14_5_1	v09044g40000cgs04b3c77u3uag45jv0	18.505	https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068/oMER4kFE5BAhMQRUHCIAYeDBIAnZnOC75bestJ~tplv-noop.image?x-expires=1743825931&x-signature=mAqPek%2FjOWPSQnSLIuvn%2BfBTylU%3D	576	1024	Bags	Apparel & Accessories	14	Product sales	Product-Centric	Product demo	Native Video	None	Unclear	Unclear	Awareness

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category